Title :
Twister Segment Morphological Filtering. A New Method for Live Zebrafish Embryos Confocal Images Processing
Author :
Luengo-Oroz, M.A. ; Faure, E. ; Lombardot, B. ; Sance, R. ; Bourgine, P. ; Peyriéras, N. ; Santos, A.
Author_Institution :
Univ. Polytech. de Madrid, Madrid
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
We propose an extension of the classical morphological filtering based on openings by line segment structuring elements. It consists in filtering a 3D+time image with the opening by all the possible rotations of a segment in the 4D space, given an initial segment and a rotation angle. The method has been applied to remove noise from confocal laser scanning microscopy images of live zebrafish embryos engineered to fluorescently label all their cell membranes.
Keywords :
cellular biophysics; filtering theory; image denoising; image segmentation; medical image processing; cell membranes; confocal laser scanning microscopy; live zebrafish embryos confocal images processing; noise removal; twister segment morphological filtering; Biomedical imaging; Biomembranes; Computational efficiency; Embryo; Image processing; Image reconstruction; Image segmentation; Information filtering; Information filters; Microscopy; Biomedical image processing; image restoration; microscopy; morphological operations;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379813
